Multiagent systems combine multiple autonomous entities, each having diverging interests
or different information. This overview of the field offers a computer science perspective, but …

Bitcoin is an innovative decentralized cryptocurrency whose core security relies on a “proof
of work” procedure, which requires network participants to repeatedly compute hashes on …

Recent work has shown great promise in explaining neural network behavior. In particular,
feature attribution methods explain the features that are important to a model's prediction on …

The Shapley value is a key solution concept for coalitional games in general and voting
games in particular. Its main advantage is that it provides a unique and fair solution, but its …

1 Her work has been supported in part by an NRW grant for gender-sensitive universities
supporting her as a junior professor for Computational Social Choice and by the project …

The prevalent approach to problems of credit assignment in machine learning--such as
feature and data valuation--is to model the problem at hand as a cooperative game and …

In the usual models of cooperative game theory, the outcome of a coalition formation
process is either the grand coalition or a coalition structure that consists of disjoint coalitions …

In many multi-agent settings, participants can form teams to achieve collective outcomes that
may far surpass their individual capabilities. Measuring the relative contributions of agents …

A key question in cooperative game theory is that of coalitional stability, usually captured by
the notion of the core—the set of outcomes such that no subgroup of players has an …

Sunley P., Klagge B., Berndt C. and Martin R.(2005) Venture capital programmes in the UK
and Germany: in what sense regional policies?, Regional Studies 39, 255–273. The paper …